Senior Data Scientist

Who we are?

Kaleidofin is a fintech focused on the mission to build a digital ecosystem ensuring finance for everyone, everywhere. We provide the ki credit platform, combining credit health assessment (ki score), middleware rails and best-in-class risk management (ki view) to enable the financial ecosystem to serve customers better. Via credit health scores for impactful finance and innovative debt structures to scale, Kaleidofin is driving towards its goal to unlock access to tailored finance for women, agri and nano entrepreneurs – in India, Bangladesh and East Africa and expanding. The platform has unlocked debt capital of cumulatively more than USD 3 billion for more than 5 million customers and small enterprises working in the informal economy.

Over the years, Kaleidofin has raised capital of USD 42 million from marquee investors, including Rabo Partnerships, the Bill & Melinda Gates Foundation, the Michael & Susan Dell Foundation, Oiko Credit, Flourish, Omidyar Network, Blume Ventures, Bharat Fund and IDH Farm fit Fund who share our commitment to financial inclusion and impact.

Kaleidofin has received exceptional international recognition in being featured as one of only six Indian companies on the Forbes 100 To Watch in Asia list and in being selected to present at the United Nations General Assembly Special Task Force.The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for Google LaunchPad Accelerator program in 2019 and was recognized as India’s Most Innovative Wealth, Asset and Investment Management Service / Product by IAMAI. Kaleidofin won the Swanari TechSprint 2023 organized by the RBI Innovation Hub, was recognized as a finalist in IFTA 2023 for ‘Best Use of AI in Fintech’, as a finalist at the prestigious Global SME Finance Awards 2024 hosted by the SME Finance Forum and IFC. Moreover, Kaleidofin emerged as a winner at the prestigious G20 TechSprint 2024 - Technology for the Planet.

Kaleidofin aims to become a leading player in enabling finance for everyone, everywhere. We also invest in culture and team growth, reflective in our selection as a Great Place to Work for multiple years.

To know more about Kaleidofin, do visit our site

https : / / kaleidofin.com

What you’ll do?

Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases / samples, and incorporation of feedback from others.

Work closely with business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.

Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.

Work closely with Technology teams on development of new capabilities to define requirements and priorities based on data analysis and business knowledge.

Developing expertise in specific areas by leading analytical projects independently, while setting goals, providing benefit estimations, defining workflows, and coordinating timelines in advance.

Providing updates to leadership, peers and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business.

Who you need to be?

4+ years in advanced analytics, statistical modelling, and machine learning.

Best practice knowledge in credit risk - strong understanding of the full lifecycle from origination to debt collection.

Preferred candidates from Analytics firms, Credit bureau firms etc

Well-versed with ML algos, BIG data concepts, and cloud implementations

High proficiency in Python and SQL / NoSQL

Collections and Digital Channels experience a plus

Strong organizational skills and excellent follow-through

Outstanding written, verbal, and interpersonal communication skills

High emotional intelligence, a can-do mentality and a creative approach to problem solving

Takes personal ownership, Self-starter - ability to drive projects with minimal guidance and focus on high impact work.

Learns continuously; Seeks out knowledge, ideas, and feedback.

Looks for opportunities to build owns skills, knowledge, and expertise.

Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)

Experience in risk and credit score domains preferred.

Job location

Chennai / Bangalore